Lian Zhuo

According to our database, Lian Zhuo authored at least 16 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DCP-NAS: Discrepant Child-Parent Neural Architecture Search for 1-bit CNNs.

Yanjing Li, Sheng Xu, Xianbin Cao, Li'an Zhuo, Baochang Zhang, Tian Wang, Guodong Guo

Int. J. Comput. Vis., 2023

DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models.

Lijun Li, Li'an Zhuo, Bang Zhang, Liefeng Bo, Chen Chen

CoRR, 2023

Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization.

Li'an Zhuo, Jian Cao, Qi Wang, Bang Zhang, Liefeng Bo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

One-stage Action Detection Transformer.

Lijun Li, Li'an Zhuo, Bang Zhang

CoRR, 2022

2021

Binarized Neural Architecture Search for Efficient Object Recognition.

Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, Rongrong Ji, David S. Doermann, Guodong Guo

Int. J. Comput. Vis., 2021

Cogradient Descent for Dependable Learning.

Runqi Wang, Baochang Zhang, Li'an Zhuo, Qixiang Ye, David S. Doermann

CoRR, 2021

Deformable Gabor Feature Networks for Biomedical Image Classification.

Xuan Gong, Xin Xia, Wentao Zhu, Baochang Zhang, David S. Doermann, Li'an Zhuo

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Virtual Character Generation and Animation System for E-Commerce Live Streaming.

Li Hu, Bang Zhang, Peng Zhang, Jinwei Qi, Jian Cao, Daiheng Gao, Haiming Zhao, Xiaoduan Feng, Qi Wang, Lian Zhuo, Pan Pan, Yinghui Xu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

The Structure Transfer Machine Theory and Applications.

Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen

IEEE Trans. Image Process., 2020

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks.

Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann

CoRR, 2020

Tailored Pruning via Rollback Learning.

Xin Xia, Wenrui Ding, Li'an Zhuo, Baochang Zhang

Proceedings of the Neural Computing for Advanced Applications, 2020

CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs.

Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David S. Doermann

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Cogradient Descent for Bilinear Optimization.

Li'an Zhuo, Baochang Zhang, Linlin Yang, Hanlin Chen, Qixiang Ye, David S. Doermann, Rongrong Ji, Guodong Guo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Binarized Neural Architecture Search.

Hanlin Chen, Li'an Zhuo, Baochang Zhang, Xiawu Zheng, Jianzhuang Liu, David S. Doermann, Rongrong Ji

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks.

Li'an Zhuo, Baochang Zhang, Chen Chen, Qixiang Ye, Jianzhuang Liu, David S. Doermann

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

The Structure Transfer Machine Theory and Applications.

Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen

CoRR, 2018